from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

_SCREAMING_SNAKE_CASE 		=      TypeVar("""KEY""")
_SCREAMING_SNAKE_CASE 		=      TypeVar("""VAL""")
@dataclass(frozen=__lowerCAmelCase  ,     slots=__lowerCAmelCase		)
class SCREAMING_SNAKE_CASE_		(      Generic[KEY, VAL]		):
   __lowerCAmelCase           =				42
   __lowerCAmelCase           =				42





class SCREAMING_SNAKE_CASE_		(      _Item		):







   def __init__(     self						:						Dict				):





    """simple docstring"""


    super().__init__(lowerCamelCase_   ,   lowerCamelCase_				)







   def __bool__(     self						:						Dict				):





    """simple docstring"""


    return False





_SCREAMING_SNAKE_CASE 		=      _DeletedItem()
class SCREAMING_SNAKE_CASE_		(      MutableMapping[KEY, VAL]		):







   def __init__(     self						:						Dict   ,   lowerCamelCase_						:						int = 8   ,   lowerCamelCase_						:						float = 0.7_5				):





    """simple docstring"""


    UpperCamelCase			  =      initial_block_size
    UpperCamelCase			  =      [None] * initial_block_size
    assert 0.0 < capacity_factor < 1.0
    UpperCamelCase			  =      capacity_factor
    UpperCamelCase			  =      0







   def 						lowerCamelCase_	(     self						:						Dict   ,   lowerCamelCase_						:						KEY				):





    """simple docstring"""


    return hash(lowerCamelCase_				) % len(self._buckets				)







   def 						lowerCamelCase_	(     self						:						int   ,   lowerCamelCase_						:						int				):





    """simple docstring"""


    return (ind + 1) % len(self._buckets				)







   def 						lowerCamelCase_	(     self						:						Tuple   ,   lowerCamelCase_						:						int   ,   lowerCamelCase_						:						KEY   ,   lowerCamelCase_						:						VAL				):





    """simple docstring"""


    UpperCamelCase			  =      self._buckets[ind]
    if not stored:
     UpperCamelCase			  =      _Item(lowerCamelCase_   ,   lowerCamelCase_				)
     self._len += 1
     return True
    elif stored.key == key:
     UpperCamelCase			  =      _Item(lowerCamelCase_   ,   lowerCamelCase_				)
     return True
    else:
     return False







   def 						lowerCamelCase_	(     self						:						Dict				):





    """simple docstring"""


    UpperCamelCase			  =      len(self._buckets				) * self._capacity_factor
    return len(self				) >= int(lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						List[Any]				):





    """simple docstring"""


    if len(self._buckets				) <= self._initial_block_size:
     return False
    UpperCamelCase			  =      len(self._buckets				) * self._capacity_factor / 2
    return len(self				) < limit







   def 						lowerCamelCase_	(     self						:						Any   ,   lowerCamelCase_						:						int				):





    """simple docstring"""


    UpperCamelCase			  =      self._buckets
    UpperCamelCase			  =      [None] * new_size
    UpperCamelCase			  =      0
    for item in old_buckets:
     if item:
      self._add_item(item.key   ,   item.val				)







   def 						lowerCamelCase_	(     self						:						str				):





    """simple docstring"""


    self._resize(len(self._buckets				) * 2				)







   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    self._resize(len(self._buckets				) // 2				)







   def 						lowerCamelCase_	(     self						:						int   ,   lowerCamelCase_						:						KEY				):





    """simple docstring"""


    UpperCamelCase			  =      self._get_bucket_index(lowerCamelCase_				)
    for _ in range(len(self._buckets				)				):
     yield ind
     UpperCamelCase			  =      self._get_next_ind(lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						List[Any]   ,   lowerCamelCase_						:						KEY   ,   lowerCamelCase_						:						VAL				):





    """simple docstring"""


    for ind in self._iterate_buckets(lowerCamelCase_				):
     if self._try_set(lowerCamelCase_   ,   lowerCamelCase_   ,   lowerCamelCase_				):
      break







   def __setitem__(     self						:						Any   ,   lowerCamelCase_						:						KEY   ,   lowerCamelCase_						:						VAL				):





    """simple docstring"""


    if self._is_full():
     self._size_up()

    self._add_item(lowerCamelCase_   ,   lowerCamelCase_				)







   def __delitem__(     self						:						Union[str, Any]   ,   lowerCamelCase_						:						KEY				):





    """simple docstring"""


    for ind in self._iterate_buckets(lowerCamelCase_				):
     UpperCamelCase			  =      self._buckets[ind]
     if item is None:
      raise KeyError(lowerCamelCase_				)
     if item is _deleted:
      continue
     if item.key == key:
      UpperCamelCase			  =      _deleted
      self._len -= 1
      break
    if self._is_sparse():
     self._size_down()







   def __getitem__(     self						:						Union[str, Any]   ,   lowerCamelCase_						:						KEY				):





    """simple docstring"""


    for ind in self._iterate_buckets(lowerCamelCase_				):
     UpperCamelCase			  =      self._buckets[ind]
     if item is None:
      break
     if item is _deleted:
      continue
     if item.key == key:
      return item.val
    raise KeyError(lowerCamelCase_				)







   def __len__(     self						:						List[Any]				):





    """simple docstring"""


    return self._len







   def __iter__(     self						:						str				):





    """simple docstring"""


    yield from (item.key for item in self._buckets if item)







   def __repr__(     self						:						int				):





    """simple docstring"""


    UpperCamelCase			  =      """ ,""".join(
        f"""{item.key}: {item.val}""" for item in self._buckets if item				)
    return f"""HashMap({val_string})"""

from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
     import torch

if is_vision_available():
     from PIL import Image


_SCREAMING_SNAKE_CASE 		=      ["""text""", """image""", """audio"""]





def 			lowercase(	UpperCamelCase_       )		->	Optional[Any]:







 '''simple docstring'''
 UpperCamelCase			  =      []

 for input_type in input_types:
  if input_type == "text":
   inputs.append("""Text input"""       )
  elif input_type == "image":
   inputs.append(
       Image.open(Path(get_tests_dir("""fixtures/tests_samples/COCO"""       )       ) / """000000039769.png"""       ).resize((512, 512)       )       )
  elif input_type == "audio":
   inputs.append(torch.ones(3000       )       )
  elif isinstance(UpperCamelCase_							,					UpperCamelCase_       ):
   inputs.append(create_inputs(UpperCamelCase_       )       )
  else:
   raise ValueError(f"""Invalid type requested: {input_type}"""       )

 return inputs





def 			lowercase(	UpperCamelCase_       )		->	Tuple:







 '''simple docstring'''
 UpperCamelCase			  =      []

 for output in outputs:
  if isinstance(UpperCamelCase_							,					(str, AgentText)       ):
   output_types.append("""text"""       )
  elif isinstance(UpperCamelCase_							,					(Image.Image, AgentImage)       ):
   output_types.append("""image"""       )
  elif isinstance(UpperCamelCase_							,					(torch.Tensor, AgentAudio)       ):
   output_types.append("""audio"""       )
  else:
   raise ValueError(f"""Invalid output: {output}"""       )

 return output_types


@is_tool_test
class SCREAMING_SNAKE_CASE_		:







   def 						lowerCamelCase_	(     self						:						int				):





    """simple docstring"""


    self.assertTrue(hasattr(self.tool   ,   """inputs"""				)				)
    self.assertTrue(hasattr(self.tool   ,   """outputs"""				)				)

    UpperCamelCase			  =      self.tool.inputs
    for _input in inputs:
     if isinstance(_input   ,   lowerCamelCase_				):
      for __input in _input:
       self.assertTrue(__input in authorized_types				)
     else:
      self.assertTrue(_input in authorized_types				)

    UpperCamelCase			  =      self.tool.outputs
    for _output in outputs:
     self.assertTrue(_output in authorized_types				)







   def 						lowerCamelCase_	(     self						:						List[Any]				):





    """simple docstring"""


    UpperCamelCase			  =      create_inputs(self.tool.inputs				)
    UpperCamelCase			  =      self.tool(*lowerCamelCase_				)

    # There is a single output
    if len(self.tool.outputs				) == 1:
     UpperCamelCase			  =      [outputs]

    self.assertListEqual(output_types(lowerCamelCase_				)   ,   self.tool.outputs				)







   def 						lowerCamelCase_	(     self						:						Union[str, Any]				):





    """simple docstring"""


    self.assertTrue(hasattr(self.tool   ,   """description"""				)				)
    self.assertTrue(hasattr(self.tool   ,   """default_checkpoint"""				)				)
    self.assertTrue(self.tool.description.startswith("""This is a tool that"""				)				)







   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    UpperCamelCase			  =      create_inputs(self.tool.inputs				)
    UpperCamelCase			  =      self.tool(*lowerCamelCase_				)

    if not isinstance(lowerCamelCase_   ,   lowerCamelCase_				):
     UpperCamelCase			  =      [outputs]

    self.assertEqual(len(lowerCamelCase_				)   ,   len(self.tool.outputs				)				)

    for output, output_type in zip(lowerCamelCase_   ,   self.tool.outputs				):
     UpperCamelCase			  =      AGENT_TYPE_MAPPING[output_type]
     self.assertTrue(isinstance(lowerCamelCase_   ,   lowerCamelCase_				)				)







   def 						lowerCamelCase_	(     self						:						Optional[int]				):





    """simple docstring"""


    UpperCamelCase			  =      create_inputs(self.tool.inputs				)

    UpperCamelCase			  =      []

    for _input, input_type in zip(lowerCamelCase_   ,   self.tool.inputs				):
     if isinstance(lowerCamelCase_   ,   lowerCamelCase_				):
      _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input				) for _input_type in input_type]				)
     else:
      _inputs.append(AGENT_TYPE_MAPPING[input_type](_input				)				)

        # Should not raise an error
    UpperCamelCase			  =      self.tool(*lowerCamelCase_				)

    if not isinstance(lowerCamelCase_   ,   lowerCamelCase_				):
     UpperCamelCase			  =      [outputs]

    self.assertEqual(len(lowerCamelCase_				)   ,   len(self.tool.outputs				)				)
